paper-self-gravitating-gas-dynamics
A purely hyperbolic discontinuous Galerkin approach for self-gravitating gas dynamics
https://github.com/trixi-framework/paper-self-gravitating-gas-dynamics
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A purely hyperbolic discontinuous Galerkin approach for self-gravitating gas dynamics
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Metadata Files
README.md
A purely hyperbolic discontinuous Galerkin approach for self-gravitating gas dynamics
Simulation of self-gravitating Sedov blast wave with adaptive mesh refinement.
This repository contains information and code to reproduce the results presented in the
article
bibtex
@online{schlottkelakemper2020purely,
title={A purely hyperbolic discontinuous {G}alerkin approach for
self-gravitating gas dynamics},
author={Schlottke-Lakemper, Michael and Winters, Andrew R and
Ranocha, Hendrik and Gassner, Gregor J},
year={2020},
month={08},
eprint={2008.10593},
eprinttype={arXiv},
eprintclass={math.NA}
}
If you find these results useful, please cite the article mentioned above. If you
use the implementations provided here, please also cite this repository as
bibtex
@misc{schlottkelakemper2020purelyRepro,
title={Self-gravitating gas dynamics simulations with {T}rixi.jl},
author={Schlottke-Lakemper, Michael and Winters, Andrew R and
Ranocha, Hendrik and Gassner, Gregor J},
year={2020},
month={08},
howpublished={\url{https://github.com/trixi-framework/paper-self-gravitating-gas-dynamics}},
doi={10.5281/zenodo.3996575}
}
Abstract
One of the challenges when simulating astrophysical flows with self-gravity is to compute the gravitational forces. In contrast to the hyperbolic hydrodynamic equations, the gravity field is described by an elliptic Poisson equation. We present a purely hyperbolic approach by reformulating the elliptic problem into a hyperbolic diffusion problem, which is solved in pseudotime using the same explicit high-order discontinuous Galerkin method we use for the flow solution. The flow and the gravity solvers operate on a joint hierarchical Cartesian mesh and are two-way coupled via the source terms. A key benefit of our approach is that it allows the reuse of existing explicit hyperbolic solvers without modifications, while retaining their advanced features such as non-conforming and solution-adaptive grids. By updating the gravitational field in each Runge-Kutta stage of the hydrodynamics solver, high-order convergence is achieved even in coupled multi-physics simulations. After verifying the expected order of convergence for single-physics and multi-physics setups, we validate our approach by a simulation of the Jeans gravitational instability. Furthermore, we demonstrate the full capabilities of our numerical framework by computing a self-gravitating Sedov blast with shock capturing in the flow solver and adaptive mesh refinement for the entire coupled system.
Numerical experiments
The numerical experiments presented in the paper use Trixi.jl, a flexible tree-based numerical simulation framework for PDEs written in Julia. To reproduce the numerical experiments, you need to install Julia. Postprocessing some numerical experiments requires Python, Paraview, and MATLAB.
The subfolders of this repository contain README.md files with instructions to reproduce the numerical experiments, including postprocessing.
The numerical experiments were carried out using Julia v1.5.0. The MATLAB scripts were executed using MATLAB R2018a.
Authors
- Michael Schlottke-Lakemper (University of Cologne, Germany)
- Andrew Winters (Linköping University, Sweden)
- Hendrik Ranocha (KAUST, Saudi Arabia)
- Gregor Gassner (University of Cologne, Germany)
Disclaimer
Everything is provided as is and without warranty. Use at your own risk!
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- Name: Trixi.jl
- Login: trixi-framework
- Kind: organization
- Website: https://trixi-framework.github.io
- Repositories: 21
- Profile: https://github.com/trixi-framework
Adaptive high-order numerical simulations of hyperbolic PDEs in Julia
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